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Learning to Refine Source Representations for Neural Machine Translation., , , , , and . CoRR, (2018)GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation., , , , , , , , , and . CoRR, (2023)Benchmarking LLMs via Uncertainty Quantification., , , , , , , and . CoRR, (2024)Learning to refine source representations for neural machine translation., , , , , , and . Int. J. Mach. Learn. Cybern., 13 (8): 2199-2212 (2022)Context-aware Self-Attention Networks for Natural Language Processing., , , , and . Neurocomputing, (2021)Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling., , , , , , , , , and . CoRR, (2023)Tencent AI Lab Machine Translation Systems for the WMT20 Biomedical Translation Task., , , and . WMT@EMNLP, page 881-886. Association for Computational Linguistics, (2020)Semantics-Enhanced Task-Oriented Dialogue Translation: A Case Study on Hotel Booking., , , , , and . IJCNLP (System Demonstrations), page 33-36. Association for Computational Linguistics, (2017)On the Copying Behaviors of Pre-Training for Neural Machine Translation., , , , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 4265-4275. Association for Computational Linguistics, (2021)Understanding and Improving Lexical Choice in Non-Autoregressive Translation., , , , , and . ICLR, OpenReview.net, (2021)